CN104246740A - Test and management for cloud applications - Google Patents
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- CN104246740A CN104246740A CN201280072843.1A CN201280072843A CN104246740A CN 104246740 A CN104246740 A CN 104246740A CN 201280072843 A CN201280072843 A CN 201280072843A CN 104246740 A CN104246740 A CN 104246740A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
- H04L47/78—Architectures of resource allocation
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Abstract
A system (100) includes an application model (140) to characterize a given application (110) for deployment on a cloud (130). A deployment manager (120) analyzes an application requirement for the given application (110) based on the application model (140) and policies (150) associated with the given application (110) to substantially match infrastructure resources (160) in the cloud (130) to fulfill the application requirement. A test manager (170) is employed to configure and launch a test suite of application deployments for the given application (110) via the deployment manager (120).
Description
Background technology
Cloud computing refers to calculating that is telescopic and that merge, storage and networked capabilities as the sending of network of service to end recipient.Title is from the complicated foundation facility of cloud as network and the abstract use of the associated hardware that can operate in cloud.Such as, the cloud computing data that are user by network, software and calculating provide service.What such computing power relied on resource sharedly realizes scale and the similar coherence of public utility (such as electrical network) and economy by network (being generally the Internet).The application be deployed in the resource supporting cloud usually has to manually be disposed at present and that consumes considerable administrative time.The manual step of application deployment comprises providing of infrastructure and installs.This needs the complete knowledge being linked to disposed infrastructure from the installation of application or the deployment of reflection.Manual deployment needs many sequences of the step usually started by the user attempting application deployment usually.
Accompanying drawing explanation
Fig. 1 illustrates the example of system for application provides automatic test to manage, carry out stage by stage and dispose.
Fig. 2 illustrates the example of the test manager interface for applying automatic test in the environment and deployment.
Fig. 3 illustrates the example system that the robotization for applying is disposed and monitored.
Fig. 4 illustrates the example system deployment of applying and supervision being utilized to close-loop feedback.
Fig. 5 illustrates the process flow diagram of the exemplary method that the robotization for applying is disposed.
Fig. 6 illustrates the example deployment system of the robotization deployment for cloud application.
Fig. 7 illustrates the example making the resource capability of cloud and the application of application require the Deployment Manager matched.
Embodiment
Fig. 1 illustrates the example of the system 100 that the automatic test promoting to apply manages, carries out stage by stage and disposes.System 100 can cloud infrastructure 130(be also called as cloud 130 by utilizing Deployment Manager 120 to determine) infrastructure ability and determine that the application of application 110 requires to provide robotization deployment and the life cycle management of application 110 by analytical applications model 140 and strategy 150.Although show cloud 130, dispose as described in this article, carry out stage by stage and test also being applied to non-cloud environment (such as, local data base and server).After such a determination, Deployment Manager 120 automatically can manage the life cycle of application 110 on cloud 130, and wherein coupling is identified (such as, desirable or do one's best-closest to coupling).Based on close the measuring and/or other policy mandates of coupling, mate and selected and/instantiation infrastructure can be provided.
Resource and application requires such to mate (such as, absolute matches or closest to coupling) after, the assembly then applying 110 can be deployed in cloud 130(or non-cloud this locality execution environment) on.The infrastructure ability of cloud 130 can be determined via the resource provisioning be associated with cloud and metadata 160.Such as, support multiple service providers of cloud 130 to provide to specify they allow the resource of what type can file and respective resources supply is described (such as, the resource provisioning of three available servers, wherein metadata predetermined memory size or processor speed, load (if instantiation), position, lease condition, service level agreements (SLA), scheduled maintenance etc.) the metadata of attribute interested.
Test manager 170 is provided to configure for given application 110 via Deployment Manager and start the protos test suite PROTOS of application deployment.Test manager 170 can configure for application 110 the multiple tests be associated from multiple different operation deployment scenario.The application deployment of organizational boundary's administration configuration and result can be crossed over to be applicable to various organization need.Such as, exploitation can have one group needs and produces to have one group of independent needs.In some cases, the public deployment for application is configured and starts, and in other cases, is such as activated via the special deployment shown by local test and reservoir 180.In other cases, the combination of public deployment and special deployment is activated and disposes via Deployment Manager 120 as being configured by test manager 170.
Such as, based on by making application model 140 and strategy 150 determine optimum matching infrastructure with as matched by the infrastructure model of resource provisioning and metadata 160 defined, test manager 170 makes to realize development of automation test, for the exploitation of operation and application safety exploitation.Application model 140 can be given for specific deployments or test.Such as, when selecting which model to use, this can via carrying out from the different models in a group model selecting or coupling via the label be associated from the different typess of models of defined in strategy realizes.Then can adopt coupling infrastructure while also running various protos test suite PROTOS and test at the different phase place of test (and/or monitoring in the production phase) or promote to produce and carry out stage by stage.For development and testing, test manager 170 allows developer to follow the exploitation of any software in cloud 130 with test, wherein they can dispose in multiple deployment scenario and operating software and when there is no common delay and cost performance objective test case with set up dispose and test.After the development& testing of software element (such as, application component), then they can be deployed aborning and operate (and monitoring similarly).This also makes it possible to the secure context of Test Application 110, because safety can also (such as on local test and reservoir 180) test in the development and production environment of safety.The feedback of leak, safety is broken through and other detect event easily can be monitored and be fed back (such as, via monitor assemblies and audiomonitor) to development and agency such as diagnosis with repair.When reporting problem aborning, deployment conditions and context can reproduce along with leak/problem report so that developer's (or support) diagnosis and correcting, and then this can cause then can by the test carried out stage by stage and/or test and patch/renewal.
Test manager 170 and Deployment Manager 120 can be used for protos test suite PROTOS by Deployment Manager 120 configuration in the deployment that provides and dispose and start and make test automation according to user interface (UI) (such as, seeing Fig. 2).This can comprise provide can based on the change monitored in scrambler storage vault the automation application DLL (dynamic link library) (API) of robotization and by Deployment Manager 120 startup/testing results external member in the deployment that provides and dispose.Deployment Manager 120 can be used to from test mobile to production, and this can be initiated by the strategy change in position (in production area) and other production criterions about capacity, delay, service quality (QoS) etc.Other test scenes supported by test manager 170 can comprise can be supported by the supervision of the configuration of infrastructure and close-loop feedback security development, operation exploitation and quality assurance.Result for such development and testing of given application can be deployed manager 120 and utilize for for the deployment of given application and life cycle management.The continuous Integration of application component (such as, be developed with them and be stored in together with the existing application integration in storage vault) can be developed based on Deployment Manager 120 along with them and be supported.Sending continuously of support software can also be carried out based on the robotization action of Deployment Manager 120.
Test manager 170 be provided for completely in single workflow in application team and cross over application team and the complete procedure running through Application and Development carries out managing and the centralized application management platform of robotization.Test manager 170 can be supported to be responsible for along with applying by their life cycle progress the stakeholder of delivery applications.It concentrates on from design to the ready core life cycle for being delivered to operation.This can comprise requirement management, test-schedule and functional test, performance test, developer and manage and defect management.Such application life cycles activity can link together from the layer of workflow viewpoint and public administration control desk, project tracking and planning, and builds comprising on the consistent storage vault of SDK (Software Development Kit) (SDK) and the common software basis of open integrated architecture with support.
As by below about described by Fig. 2, test manager 170 can be programmed to support various function.This can comprise the illustrative functions of ALM (ALM) of the unified software platform sent such as had for accelerating safe and application reliably and so on.This comprises for the cooperation between developer, tester and business analysis delivery applications provides the development management function of framework.Test manager 170 can also make it possible to for corresponding application definition, management and follow the tracks of software requirement.Such as, this can comprise provides repeatably, telescopic, automatable function is with administrative skill strategy and Reusable component.Support that synthesis application is to cross over life cycle management high-quality, the reliable and synthesis application of safety via interface module.ALM comprises the support of namely software being served to (SaaS).Also quality management function is supported for application and deployment.This comprises performance verification, and wherein one group of function is provided to Test Application performance under project-based scene and other development modes.Modular testing instrument is also provided for as application promptly develops automated function test external member.
Use test manager 170, the application of regulation requires the exploitation instructing application.The requirement of application developer and defined can be stored in memory to instruct the foundation of test case and protos test suite PROTOS.Such as, can be defined these in configuration, deployment and use scenes.Different test cases and scene can be captured as application model 140 and strategy 150.Representative dispose can based on facility template be captured.Can one-key operation (such as, via sensing template, model, strategy, workpiece and the web site of run time version) automatically testing results external member in target configuration.Periodically or in change along with application or via manually to change or after scheduling changes and there occurs, such change can such as call API to transmit new workpiece and testing results via test manager 170() and robotization.Safety test or can also make to realize security challenge in the various step places test of exploitation.Can by change strategy with along with select or the deployment determined move to production environment to make can realize developing and run.
After deploying application based on coupling, Deployment Manager 120 can manage other aspects of the life cycle of application further.Such as, Deployment Manager 120 can monitor feedback, and adjusts infrastructure resources based on such feedback.Additionally or alternatively, the event that Deployment Manager 120 can detect based on such feedback or other dynamically adjusts application model and corresponding strategy.Similarly, this can also comprise the older version of Retirement application component (such as, code, middleware (MW), database, operating system (OS) etc.) and the new version of installation component is disposed to make the realizing continuation be applied in cloud infrastructure 130.
Cloud 130 can be mixing to make it can be the combination of conventional data centers, and described conventional data centers is made into shows to obtain picture infrastructure resources, specific cloud (cloud in inside exploitation), public cloud (being provided by service provider) and the configuration of managed cloud (inner or manage in public cloud/virtual private cloud).As utilized herein, term application is applicable to the intersection of assembly.In addition, application can for each in its assembly by one group of workpiece (such as, installation procedure, executable file, configuration etc.) and be mounted and characterize with one group of assembly (such as, code, middleware (MW), database, operating system (OS) etc.) mutual each other.Further, as utilized herein, term is determined can comprise compiling, enumerate and mate.
As utilized herein, term " substantially " is although be intended to indicate the function of the term be just modified or result to be that expectation or some changes of calculated result can produce.In this context, such as, term " substantially mate " or its variant describe the situation that analysis and comparison that result obtains is performed to be identified as identical resource; But coupling can correspond to the one group of resource being similar to fully and making realize disposing (above-identified is absolute matches or coupling of doing one's best) in practice.Under one group of resource such more than may correspond to match condition, Deployment Manager can select one group of available resources of optimum matching.The additive method for selecting such coupling can be utilized.
Application model 140 can be used and such as describe by the metadata of the various assemblies for applying the given application 110 characterized for being deployed in cloud infrastructure 130.Deployment Manager 120 can realize with based on the application model 140 be associated with given application and tactful 150(or all strategies via the instruction that can be performed by processor or the data that can be read by processor) analyze application requirement for given application 110.As will be described below, strategy 150 can be provided to describe the additional operation context (such as, after midnight operational applications, use the load balancing only between east coast server, maintenance server, be deployed in given network domains, guarantee between load regulation restriction on the server, guarantee the technology of " measuring close " of there is not maintenance on the horizon etc. and coupling in given window) of application 110.Then Deployment Manager 120 can determine to be enough in cloud infrastructure to realize the infrastructure resources that the application as the application 110 by model 140 and tactful 150 defineds requires.
In one example, Deployment Manager 120 can make the application of application 110 require with such as matched by the ability of the cloud of resource provisioning and metadata 160 defined after automatically given application 110 is deployed in cloud infrastructure 130.In such examples, it be usually equivalent to (can by call management infrastructure and/or the external system of life cycle of application) perform the instruction of other described below following examples.As utilized herein, term " application " (such as, comprising application 110) can comprise one group of assembly that is mounted and that perform.The example of such assembly comprises multiple hierarchical logic, user interface (UI), middleware (MW), database (DB), operating system (OS) except being used for installing and configuring or unloading except the code of such assembly.Therefore, apply 110 and refer to the assembly of the storage vault that can also comprise such assembly and workpiece and these set of workpiece.Application 110 can also be identified by the assembly of pointer and the pointer of workpiece comprising independent pointer or one group of assembly.In another example, Deployment Manager 120 can generate about how given application 110 being deployed in instruction cloud infrastructure 130 notifying system (or user).In any one example, Deployment Manager 120 can automatically make the requirement as the application 110 by model 140 and tactful 150 defineds match with the ability as the cloud 130 by resource provisioning and metadata 160 defined.
Deployment robotization is made with manual processes reciprocal system 100 Utilization strategies of conventional system and model driven method.System 100 can be come dynamically based on the model 140 and strategy 150 characterizing their requirements in infrastructure attribute (or statically) optimize infrastructure resources (being characterized by metadata attributes) and infrastructure resources is tied to application 110.This can comprise makes apply metadata match with resource metadata and considers that strategy and context make application and their optimization of assembly/dependence on cloud 130 or preferably/deployment robotization of marking and same without the need to manual deploying step.In one example, system 100 allows the tracking of example also to support the automatic management (such as, described below automated surveillance and feedback) of such example simultaneously.Different technology is provided to suck, create and design the metadata that can also describe infrastructure template, application model and strategy.Such example can be stored in database or storage vault (not shown) together with application 110, application model 140 and strategy 150.
System 100 can adopt closed feedback loop (see figure 4) for supervision application.Such supervision application can be utilized to such as scale up or scaled application execution requirements, and utilization notifies suitable recipient, and such as user or other system apply.In one example, audiomonitor can be installed in various assembly with from supervision capturing events.Event received by audiomonitor can trigger processor, and described processor can generate life cycle management operation on the system 100.The example of some life cycle managements operation comprise scale up, scaled, mobile, cancel and provide, to user or system alarm, and run another executable file, it can involve system described herein and other synthesis of applying.
Multiple hardware platform or can be crossed on a hardware platform and realize system 100, wherein can on a platform or the module of crossing in multiple platform executive system.Namely such module in the upper operation of cloud (various forms/and mixed cloud) or can serve as the SaaS(software that can be implemented on cloud or outside cloud) provide.In the infrastructure resources needed, automatically can dispose complicated applications, and understand how to perform such operation without the need to user equally.Strategy 150 provides robotization instruction for helping keeper to alleviate the Operating Guideline policy of disposing mistake.Metadata can also by identifying that the type (such as, via UI or API) of application is associated with application, and then user need not understand application characteristic.This method for application based on they to allow with associating of metadata " best practices ", recommend or with the deployment model forced.
Strategy allows to make application characteristic and other contexts to consider equally, and item (such as, about user, about applying, about infrastructure, about context, about this specific user, about application-specific etc.) is separated.This promotes that application model crosses over re-using of many application.Can also realize becoming privileged (the specific group policy of relationship specifications such as, being an application and Another Application) via strategy.This still such as system how to force to carry out specific one group of characteristic value for given application or version for fixing.Such as, system can apply common application model for web application, but in another case, for the attribute explicitly of model specifies different models or particular value.Resource (such as, some resources to provide and some resources provide from Internet service from local data base or server) can also be provided from mixed cloud.
For the simple object illustrated, in the example of fig. 1, the different assembly of system 100 is illustrated and performs different functions with being described as.But those of ordinary skill in the art should understand and understand, the function of described assembly can be performed by different assemblies, and can combine on single component and perform the functional of several assembly.Assembly such as can be embodied as computer executable instructions, hardware (such as, special IC or processing unit), or is embodied as both combinations.In other examples, assembly can be distributed among remote equipment by spanning network.In one example, can define topology, wherein applying template can comprise the topological model disposing which assembly (such as, which position what assembly will be deployed in).In another example, Deployment Manager 120 can provide topological model and then determine the best infrastructure resources with its coupling.In another example, after the deployment providing with application component of resource, topology example can be created.As disclosed herein like that, topology example can be stored and for later management, supervision.
The test manager interface 200(that Fig. 2 illustrates for being applied in automatic test in cloud environment and deployment is also called as interface 200) example.Interface 200 comprises selects pane 210, described selection pane 210 make to realize source code amendment and design, protos test suite PROTOS structure and startup, release and deployment option, multi-platform layout (such as, in the chien shih event synchronization of application component) and management, run and make applied environment safety.Such as, so as described in this article selection pane can also be exposed to other application via application programming interface (API).Service and support option 214 comprises service and administers (such as, financial agreement, capacity, manufacturer's information etc.).Service market option in service and support option 214 comprise service outlets, product shop, to realizing, the catalog request of usage data and charge-back information.Support maincenter in option 214 can comprise use-case and exchange and application management details.Option 214 can also comprise collaboration type case management, such as the accident applied, problem, defect, requirement, change and the report and the tracking that discharge data.Information database 220 can store/exchange to/from herein about the data of each in the assembly described by interface 200.
ALM device 224 can comprise for designing the application comprising synthesis or mixing application, modeling, structure and test option.Service realize assembly 230 make to realize Service Design synthesis and realize, application modeling, deployment and workload management, and infrastructure design and realization.Application performance module (APM) makes to realize the performance test of the application disposed, analysis and classification.Service operations and bridge assembly 240 make can realization event process, supervision, analysis and report and mutual with real time service model (RTSM) storage vault.Infrastructure management assembly 250 provides for defining/option of search system assembly, networking component and memory module.This comprise for the treatment of/analysis of failure, analytical applications, network and/or system performance and be provided for the option of the various configuration interfaces of config option.Resource pane 260 comprises the option how will be deployed for given application, comprises the option for being deployed in public cloud, managed cloud, specific cloud, virtual operation and conventional deployment (such as, according to standard deployment scene).
Interface 200 and the described herein test manager (such as, the test manager 170 of Fig. 1) associated make development and testing person can have full-automation for test application with the deployment of the protos test suite PROTOS associated with safety open originator.This comprises the robotization based on model, and it promotes and accelerate development process further.Interface 200 promotes the establishment treating model and the configuration adopted with this.This can comprise mixing and send model, and wherein test can on specific cloud, public cloud, or test can partly in specific cloud and public cloud (burst such as, when test capacity needs (such as, for Road test)).Test automatically can be moved to public cloud from specific cloud and can automatically be moved on the contrary.
The full-automation for applying from development& testing to the deployment of producing is provided equally to operation developer.This comprises the full-automation of life cycle management under operation.Robotization based on model makes it possible to build and re-use the model creating from similar application and/or use when developing and test.This comprises equally and includes the mixing that public and/or specific cloud disposes and send the test of model and test as described earlier.This can comprise supervision source storage vault with detect change and automatically to start test.This also can also comprise for periodic manual with the option of test of scheduling.
Fig. 3 illustrates the example system 300 that the robotization for applying is disposed and monitored.System 300 comprises the enforcement engine 310 that the robotization for applying is disposed.Such engine can also comprise for setting up providing manager and can comprising Deployment Manager described above of service level agreements with service provider.Event handler and scheduler 314 can be used to process application affairs and dispatch being associated with application of task.As disclosed herein like that, can define and install audiomonitor/processor for supervision event.This can comprise to provide/dispose and follow-up life cycle management operation dispatch (such as, tonight or dispose continue following 2 week).Configuration monitoring device 320 Sum fanction engine can be used to configure provides the monitor assemblies 324 of feedback and for applying rule for performing this application and strategy from application.Such as, system 300 comprises the model database 330 that can comprise application model, infrastructure model and workpiece pointer.
Instance database 334 can be used the object instance of the realization storing application.Application user interface 340 can be used design ap-plication and be configured for the metadata of this application of operation, but Infrastructure user interface 244 can be used to be given for the infrastructure requirements of application deployment in cloud.Such as, disposing that assembly 350 can comprise such as can via disposing the application deployment DLL (dynamic link library) (API) of secret formula (recipe) defined and instruction.One or more (call-out) 354 that recall can be the operational order that given application specifies to customize.There is provided assembly 360 can comprise for various cloud infrastructure component mutual API and plug-in unit are provided.
System 300 can be utilized to structure/deployment base facility and applying template as deviser's instrument.It allows application developer, tester or other keepers or deviser to build application model equally.Similarly, they for the execution of application and can dispose layout strategy Sum fanction.Some or all in infrastructure and application data can be inhaled into respectively as in the storage vault shown by database 330 and 340.Alternatively, such infrastructure or application data can be transmitted via API.Application workpiece (code, executable file, installation kit etc.) can be sucked or reference equally via database or API.Such as, API or portal users interface 340 and 344 can be used to combine or upload request to carry out mating and disposing while also specifying the applying template that will use and strategy.Such API and user interface can be implemented as a part for deviser's instrument and define metadata and make metadata be associated (such as, via infrastructure template and topology) with infrastructure.
Agency and the preparation of adviser tool and foundation can be provided to make application can find example (and if it is needed to have agency by instrumentation).This can by the component binding of application and association thereof to after infrastructure resources via utilizing the instruction/secret formula of deployment base facility and application element thereof to realize.Event/report allows closed feedback loop, allows if described closed feedback loop can be used to strategy, for change (based on strategy) in the future scale up/scaled or upgrade context/strategy and notify suitable side or system (see Fig. 4 and description below).As noted above like that, cloud and resource pool can be some of them resource by local service some by the mixing entity of remotely serving.For supporting to ensure/monitor the auto-scaling of event, the cloud of workload management and process or hardware resource, application can be self-management.Such self-management such as utilizes feedback to determine performance, changes application requirement, and the generation alarm that depends on the circumstances.
Fig. 4 illustrates the example system 400 for the deployment be applied in cloud infrastructure and management and utilization close-loop feedback.System 400 comprise perform from the processing unit 410(of the instruction of storer 414 or processor), described storer 414 comprises firmware for storing the computer executable instructions be associated with computing machine or other storage mediums.Processing unit 410 and storer 420 can be provided as a part for deployment tool 420, and application 430 is deployed in cloud infrastructure 440 via Deployment Manager 450 by described deployment tool 420.As shown, feed back 460 be received from disposed application 430 and processed by monitor assemblies 470.Such feedback 460 can be how in the state performed or event from the instruction application of disposed application 430.In one example, feedback 460 can be used the operating parameter adjusting disposed application 430, and it requires to be set up according to the application previously determined.Such as, foreground task can be adjusted to make task operate from during the microsecond of the different numbers performed at present.This can comprise the operation requirements scaling up or reduce disposed application 430.In another example, feed back 460 and can be used the operation infrastructure adjusting cloud infrastructure 440.Such as, service level agreements automatically can consult to increase or reduce available resources suitably to meet the action need of the application 430 disposed with cloud infrastructure services provider again.
Computing machine 480 can operate one or more interface 484 to programme to application model 490 and to be stored in database 494.Computing machine can also promote the life cycle management of applying with deployment tool 420 is mutual with change of disposition.Interface 484 can also configuration infrastructure template, alter operation requirement, configuration monitoring device assembly 470, and with the event generated in system 400 and alarm mutual.As previously pointed out, perform together with on cloud, the application 430 disposed can be crossed over uncorrelated cloud and be propagated or be provided as the part that mixing is applied.Such as, partly in cloud infrastructure 440 with partly, the application 430 disposed can be performed on the database 494 as the entity (such as, home server database is to network data base) different from cloud.
In view of the 26S Proteasome Structure and Function feature before described above, understand exemplary method better with reference to Fig. 5.Although for the simple object illustrated, the exemplary method of Fig. 5 is shown and described as performing serially, but be to be understood that and be appreciated that, this example does not limit by illustrated order, because some actions can occur with the order of description with different order and/or simultaneously according to shown herein in other examples.And the action of all descriptions of unnecessary execution carrys out implementation method.The exemplary method of Fig. 5 can be implemented as the machine readable instructions that can be stored in non-transitory computer-readable medium, and described non-transitory computer-readable medium can be such as computer program or other forms of memory storage device.The computer-readable instruction corresponding with the method for Fig. 5 can also to be performed from memory access by processor (such as, the processing unit 410 of Fig. 4).
Fig. 5 illustrates the exemplary method 500 that the robotization for applying is disposed.At 510 places, method 500 comprises modeling is carried out in process apply metadata (such as, via the Deployment Manager 120 of Fig. 1) to given application.Method 500 is included in 520 reason descriptions everywhere perform the resource of given application resource metadata for cloud.At 530 places, method 500 configures a set of test (such as, via the test manager 170 of Fig. 1) for given application.At 540 places, method 500 comprises based on making apply metadata and resource metadata match so that perform this cover and test given application deployment in cloud.Method 500 can also comprise automatically by least one in public cloud or specific cloud of given application deployment.Method 500 can also comprise the detection of supervision for the change of the given application in storage vault and based on change and automatically start a set of test.Method 500 can also be included in change along with given application, via after manually changing or changing via scheduling and there occurs, by transmit new application workpiece and in a periodic fashion on new application workpiece testing results make change robotization.The method is also included in first environment and given application is carried out stage by stage and given application is moved at least one other environment.
Method 500 can be performed automatically as a part for the system of the example described in such as Fig. 1 or 4 and so on.System can comprise storer for storing the computer executable instructions be associated with computing machine and for accessing storer, performing computer executable instructions and thus the processing unit of manner of execution 500.Computer executable instructions can comprise storage in memory to characterize the application model for being deployed in the given application in cloud infrastructure, and wherein this application model can be described by apply metadata.The apply metadata that the Deployment Manager stored in memory can analyze given application and the strategy that is associated with given application are to determine the infrastructure resources in cloud infrastructure.Infrastructure resources can be defined as resource metadata.Deployment Manager can automatically make apply metadata substantially mate (such as, identifying closest to coupling) with resource metadata to realize applying requirement.Test manager can be stored in memory to be applied in cloud for given the protos test suite PROTOS configuring and start application deployment via Deployment Manager.Monitor assemblies can be carried out monitor test condition according to the given deployment be applied in cloud and think the feedback that given application provides corresponding with monitored test condition.
Fig. 6 illustrates the example deployment system 600 of the robotization deployment for cloud application.System 600 comprises application model 610 to characterize for being deployed in such as about the given application 620 in cloud infrastructure illustrated in fig. 1.Deployment Manager 630 requires to determine to be used in cloud infrastructure to realize based on the application analyzed for given application 620 of the application model 610 be associated with given application and strategy 640 infrastructure resources that this application requires.Test manager 650 can configure for given should being used for and starting the protos test suite PROTOS of application deployment via Deployment Manager.
Fig. 7 illustrates the example for the Deployment Manager 710 making the resource capability 720 of cloud 730 require 740 to match with the application of application.Resource capability 720 can comprise resource provisioning 750, and described resource provisioning 750 can come freely to support the pond of the resource provisioning that multiple resource providers of cloud 730 provide.Such as, such resource provisioning can comprise cloud service (such as, can access via the application programming interfaces of correspondence (API)), can activate and to provide in the existing system of such service or existing external compound (having the parametrization workflow/synthesis script of funcall) one or more.Resource provisioning 750 can be compiled by resource provider/suck from resource provider.Resource capability 720 comprises the resource metadata 760 be associated with each resource provisioning of the attribute interested characterizing resource equally.Such as, such metadata 760 can specify position/topology (such as, for synthesis resource) except other specifications, capacity, SLA, scheduled maintenance, working load (if in part uses), hardware, CPU, storer, the operating system of included or support, other software aspect and labels.
Resource metadata 760 can with designed by Resource Design or suction process or any resource of adding resource pool to be associated.The metadata describing application model and resource provisioning can be caught via deviser (such as, instrument, entrance UI or API) with descriptive metadata.The metadata comprising secret formula (such as, corresponding with the instruction for such as cancelling deployment and other life cycle management functions disposed and monitor and so on) can form resource template.Can as being provided by a part for the template of other applications exploitings (such as, the data file of metadata and supply) by the resource metadata 760 of metadata defined and associated resource provisioning 750.
The application of given application requires 740 can to specify via the apply metadata 770 that can define when applying design or after application design.This can comprise the assembly (the multiple application such as, in multiple layer) treating individually to dispose.Apply metadata 770 can also specify the requirement/preference about resource.This can comprise the general deployment script as workflow or process (asynchronous or synchronous).Dispose step and can comprise Disposition Instructions (script such as, being used for running in the resource of distributing, the instruction etc. of service) for each assembly further.This can comprise for disposing agency or being monitor and/or manage ready associated instructions.Component application instruction can be crossed over.Generally speaking, apply metadata 770 can represent above about the application model described by Fig. 1.Given application model can be stored in memory and by multiple applications exploiting to promote that it is disposed.As previously pointed out, application can comprise the multiple cooperation assembly and workpiece (such as, source or executable and installable) that provide and be deployed the application that script utilizes.
As shown, can provide and be applicable to application/infrastructure and with reference to for the contextual additional strategy 780 of operational applications.Such as, strategy can given application position (such as, only operate on the server of east coast), the time (such as, after midnight and before at 6 in the morning operate), processing requirements (such as, the processing speed of defined and storer need) and/or load balancing requirement is (such as, serverless backup will operate under more than 50% load condition), SLA, availability requirement (such as, in following x days without scheduling maintenance etc.), safety (such as, particular network territory or security domain).
Application can by Deployment Manager 710 by the metadata 770 associated by retrieval and based in optimum matching (if such as by policy enforcement, can be definite mark) and resource pool can resource provisioning 750 coupling dispose.Resource metadata 760 can according to strict specifications (such as with mating of apply metadata 770, processor must operate under 1 GHZ) or can be mated according to threshold value specification (any processor such as, operated on 500 MHZ is all acceptable).Therefore, mate this coupling be best-fit or close to desired matching criterior situation under can be absolute matches or can be basic coupling.Secret formula can be processed by Deployment Manager 710 and refer to the code/workpiece for application deployment.Such as, such secret formula can via known stored warehouse compartment put become can with or pointer via secret formula carry out reference.Such as, the topology of synthesis resource corresponding to application can be deployed manager 710 and save as new resource type and re-use for when similar apply metadata is used by Another Application.Multiple versions of identical application or similar application can re-use identical apply metadata, but, such as, adopt different strategies to relate to operation context.
What described above is example.Certainly, each combination imagined of assembly or method can not be described, but those of ordinary skill in the art it should be understood that many other combination and permutation are possible.Therefore, the present invention be intended to comprise fall into the application (comprising claims) scope in all such changes, amendment and change.Additionally, under present disclosure or claim record " one ", " one ", " first " or " another " element or its equivalent situation, it should be construed as comprising one or more such elements, both two or more such elements neither requiring nor excluding.As utilized herein, term " comprises " and means to include but not limited to, and term " includes " and means to include but be not limited to.Term "based" mean at least in part based on.
Claims (15)
1. a system, it comprises:
Application model, is stored in memory, to characterize the given application for being deployed on cloud;
Deployment Manager, corresponding with the instruction that can be performed by processor, with the application analyzed based on the described application model be associated with described given application and strategy for described given application require with in described cloud, be used for realizing the infrastructure resources that described application requires substantially mate; And
Test manager, corresponding with the instruction that can be performed by described processor, to configure via described Deployment Manager for described given should being used for and starting the protos test suite PROTOS of application deployment.
2. system according to claim 1, wherein said Deployment Manager by based on the order from described test manager automatically by described given application deployment on described cloud.
3. system according to claim 1, comprises application programming interface (API) further to monitor application in storage vault and change and via described Deployment Manager to start the described protos test suite PROTOS of application deployment.
4. system according to claim 1, comprises user interface further to configure and to start the described protos test suite PROTOS of application deployment via described Deployment Manager.
5. system according to claim 4, described given application is moved to production from test by described for order Deployment Manager by wherein said user interface further.
6. system according to claim 5, wherein said user interface further by make to be embodied as described given application described mobile regulation destination locations, change for described given application regulation ability or for the strategy of at least one in described given application specified quality of service (QoS).
7. system according to claim 4, wherein said user interface provide interface options with for development and testing environment, exploitation security context, exploitation operating environment or quality assurance environment at least one to configure the described protos test suite PROTOS of application deployment.
8. system according to claim 4, wherein said user interface comprises selection pane, and described selection pane comprises source code and selects user interface element, structure test selection user interface element, version and deployment to select user interface element, multi-platform layout selection user interface element and management, operation and safety to select user interface element.
9. system according to claim 4, wherein said user interface comprises resource pane, and described resource pane comprises the configuration feature option for public cloud, specific cloud, managed cloud, virtual operation and conventional arrangement.
10. system according to claim 4, wherein said user interface comprises for designing test suite, the robotization tab manager of modeling and structure, to realize assembly, for the service of configuration event, performance and analysis and operation bridge, or be used for the infrastructure management assembly of the fault of the described infrastructure resources managed in described cloud, performance and configuration for the service of Service Design, application modeling, workload management and infrastructure design.
11. 1 kinds of methods, it comprises:
Be used for carrying out given application the apply metadata of modeling by computer disposal;
Be used for by described computer disposal describing the resource metadata of resource performing described given application for cloud;
By a set of test of described allocation of computer for described given application; And
By described computer based in making described apply metadata and described resource metadata match so that perform this cover and test described given application deployment in described cloud.
12. methods according to claim 11, be included in further change along with described given application, via after manually changing or changing via scheduling and there occurs, by transmitting new application workpiece in a periodic fashion and making change robotization to described application testing results newly.
13. methods according to claim 11, are included in further in first environment and described given application are carried out stage by stage and described given application is moved at least one other environment.
14. 1 kinds of systems, comprising:
Storer, it is for storing the computer executable instructions be associated with computing machine; And
Processing unit, it is for accessing described storer and performing described computer executable instructions, and described computer executable instructions comprises:
Application model, it is stored in which memory to characterize for being deployed in the given application on cloud, and wherein said application model is described by apply metadata;
Deployment Manager, its be stored in which memory with the described apply metadata analyzing described given application and the strategy that is associated with described given application to determine the infrastructure resources in described cloud, wherein said infrastructure resources is defined as resource metadata and described Deployment Manager automatically makes described apply metadata and described resource metadata match to realize applying requirement; And
Test manager, its be stored in which memory with via described Deployment Manager for the described given protos test suite PROTOS being applied in described cloud configuration and starting application deployment.
15. systems according to claim 14, comprise monitor assemblies further in order to carry out monitor test condition according to the described given deployment be applied in described cloud and with thinking that described given application provides the feedback corresponding with monitored test condition.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| PCT/US2012/041637 WO2013184137A1 (en) | 2012-06-08 | 2012-06-08 | Test and management for cloud applications |
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| CN104246740A true CN104246740A (en) | 2014-12-24 |
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| CN201280072843.1A Pending CN104246740A (en) | 2012-06-08 | 2012-06-08 | Test and management for cloud applications |
Country Status (4)
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| US (1) | US20150100684A1 (en) |
| EP (1) | EP2859460A4 (en) |
| CN (1) | CN104246740A (en) |
| WO (1) | WO2013184137A1 (en) |
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Also Published As
| Publication number | Publication date |
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| EP2859460A1 (en) | 2015-04-15 |
| WO2013184137A1 (en) | 2013-12-12 |
| EP2859460A4 (en) | 2016-01-06 |
| US20150100684A1 (en) | 2015-04-09 |
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Application publication date: 20141224 |